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### Method description
Constrained Generative Policy Optimization was introduced by Meta in a recent paper (https://arxiv.org/pdf/2409.20370). It seems to outperform PPO and DPO and is specifically…
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Hi, thank you for the amazing library!
I was wondering if minimizing with user-specified bounds, or algorithms like projected gradient descent are supported?
If not, what would be the best practi…
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A close and correct reading of algorithm 3.12
LEVENBERG-MARQUARDT METHODS FOR CONSTRAINED NONLINEAR EQUATIONS WITH STRONG LOCAL CONVERGENCE PROPERTIES by Kanzow, Yamashita and Fukushima
and the as…
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Hello @GuangchenW,
Please is it possible to upload the datasets for both the constrained and multi-objective optimizations, as used in the manuscript?
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Hello,
Following the #647 and the fix #648 (which works - thanks!). Are the any available options of constrained problems for BigFloat? Any plans to add methods for bigs to IPNewton or other options?…
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How to implement constrained optimization?
- Which algorithm to use? Barrier method?
- How much derivative information is needed for constraint function(s)? How to pass constraint function(s)? Is it a…
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hyperopt seems to be performing poorly on a simple constrained optimization problem.
min f = 2x_1^2 + x_2^2
s.t. x_1 + x_2 = 1
The code is given below. Even if I remove the constraint (the pena…
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**Goal:**
Want to add constraints to reduce search space for optimizing the time variables in the chromosome (i.e time of maneuvers). For instance, the next time of maneuver should be greater than t…
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Since EI has an analytical formula, argmax(EI) should easily incorporate constraints. An example is weights, where sum(x's)=1, or points in a circle, where x^2+y^2
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This issue keeps track of the support for constraints in GPFlowOpt.
Support for expensive constraints will be initially added using the Probability of Feasbility (PoF). With the acquisition functio…